The role of visual saliency in the automation of seismic interpretation |
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| Authors: | Muhammad Amir Shafiq Tariq Alshawi Zhiling Long Ghassan AlRegib |
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| Institution: | Center for Energy and Geo Processing (CeGP), Georgia Institute of Technology, Atlanta, USA |
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| Abstract: | In this paper, we propose a workflow based on SalSi for the detection and delineation of geological structures such as salt domes. SalSi is a seismic attribute designed based on the modelling of human visual system that detects the salient features and captures the spatial correlation within seismic volumes for delineating seismic structures. Using this attribute we cannot only highlight the neighbouring regions of salt domes to assist a seismic interpreter but also delineate such structures using a region growing method and post‐processing. The proposed delineation workflow detects the salt‐dome boundary with very good precision and accuracy. Experimental results show the effectiveness of the proposed workflow on a real seismic dataset acquired from the North Sea, F3 block. For the subjective evaluation of the results of different salt‐dome delineation algorithms, we have used a reference salt‐dome boundary interpreted by a geophysicist. For the objective evaluation of results, we have used five different metrics based on pixels, shape, and curvedness to establish the effectiveness of the proposed workflow. The proposed workflow is not only fast but also yields better results as compared with other salt‐dome delineation algorithms and shows a promising potential in seismic interpretation. |
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| Keywords: | Saliency Seismic attribute Salt‐dome delineation Seismic interpretation Data processing Signal processing |
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